JOURNAL ARTICLE

"It's never going to end": Experiences of residents recovering in damaged dwellings after superstorm sandy.

  • Published In: International Journal of Mass Emergencies & Disasters, 2024, v. 42, n. 1. P. 21 1 of 3

  • Database: Sociology Source Ultimate 2 of 3

  • Authored By: Wolfe, Rachel; Siebeneck, Laura K; Schumann III, Ronald 3 of 3

Abstract

This article examines the experiences of residents recovering in-situ—that is, living in their significantly damaged homes—following Superstorm Sandy in New Jersey. Through focus groups with ten survivors who undertook housing recovery while residing in barely habitable dwellings, the study identifies key reasons for this choice, including uncertainty about housing options, reluctance to burden family, and concerns about looting. The recovery experience involved coping with secondary hazards (e.g., mold, pests), lack of utilities, and feelings of revictimization due to bureaucratic challenges and contractor issues, all of which complicated both physical and emotional recovery. The study highlights that emotional recovery remains elusive even after physical reconstruction, as residents lose agency over the process and face ongoing uncertainties such as insurance claw-backs. These findings contribute to disaster recovery literature by illuminating the intertwined physical, emotional, and perceptual challenges of in-situ recovery and suggest the need for improved support and communication strategies tailored to this vulnerable population.

Additional Information

  • Source:International Journal of Mass Emergencies & Disasters. 2024/03, Vol. 42, Issue 1, p21
  • Document Type:Article
  • Subject Area:Earth and Atmospheric Sciences
  • Publication Date:2024
  • ISSN:0280-7270
  • DOI:10.1177/02807270241240476
  • Accession Number:177518689
  • Copyright Statement:Copyright of International Journal of Mass Emergencies & Disasters is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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